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Detection of SMS Spam Botnets in Mobile Devices: Design, Analysis, Implementation - Couverture souple
Synopsis
Short Message Service (SMS) is widely used to provide communication between users around the world. In the last years, it has become a lucrative way for cybercriminals to infect mobile devices with botnets and launch malicious attacks without the user's knowledge such as: SMS spam and SMS premium rate fraud. SMS spam is one of the dangerous malicious activities as the user is charged for each sent SMS spam. Existing solutions to this issue are no longer adequate as they are either costly in terms of resources, inefficient, or require user intervention with some knowledge on security. In this book, we design, analyze, and implement a system that detects any attempt to send out malicious SMS spams from the mobile device. The proposed system combines the rule-based and the content-based approaches into one detection process. It achieves good performance in terms of detection time and execution cost, and offers a good tradeoff between resilience against attacks and user interaction with the system. This book is intended for multiple audiences: academic, professional, students, and anyone else who is interested in IT security, and particularly in mobile security and botnet detection.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
Short Message Service (SMS) is widely used to provide communication between users around the world. In the last years, it has become a lucrative way for cybercriminals to infect mobile devices with botnets and launch malicious attacks without the user's knowledge such as: SMS spam and SMS premium rate fraud. SMS spam is one of the dangerous malicious activities as the user is charged for each sent SMS spam. Existing solutions to this issue are no longer adequate as they are either costly in terms of resources, inefficient, or require user intervention with some knowledge on security. In this book, we design, analyze, and implement a system that detects any attempt to send out malicious SMS spams from the mobile device. The proposed system combines the rule-based and the content-based approaches into one detection process. It achieves good performance in terms of detection time and execution cost, and offers a good tradeoff between resilience against attacks and user interaction with the system. This book is intended for multiple audiences: academic, professional, students, and anyone else who is interested in IT security, and particularly in mobile security and botnet detection.
Biographie de l'auteur
· Mashael Al-Omany completed her MS degree in Computer Science in 2015. · Jalal Al-Muhtadi is currently an assistant professor and the director of Center of Excellence in Information Assurance (CoEIA), King Saud University, KSA. · Abdelouahid Derhab is currently an assistant professor at CoEIA, King Saud University, KSA.
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Detection of SMS Spam Botnets in Mobile Devices
Edité par
LAP LAMBERT Academic Publishing Aug 2015, 2015
ISBN 10 : 3659755052
ISBN 13 : 9783659755057
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Short Message Service (SMS) is widely used to provide communication between users around the world. In the last years, it has become a lucrative way for cybercriminals to infect mobile devices with botnets and launch malicious attacks without the user's knowledge such as: SMS spam and SMS premium rate fraud. SMS spam is one of the dangerous malicious activities as the user is charged for each sent SMS spam. Existing solutions to this issue are no longer adequate as they are either costly in terms of resources, inefficient, or require user intervention with some knowledge on security. In this book, we design, analyze, and implement a system that detects any attempt to send out malicious SMS spams from the mobile device. The proposed system combines the rule-based and the content-based approaches into one detection process. It achieves good performance in terms of detection time and execution cost, and offers a good tradeoff between resilience against attacks and user interaction with the system. This book is intended for multiple audiences: academic, professional, students, and anyone else who is interested in IT security, and particularly in mobile security and botnet detection. 60 pp. Englisch. N° de réf. du vendeur 9783659755057
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Detection of SMS Spam Botnets in Mobile Devices
Edité par
LAP LAMBERT Academic Publishing, 2015
ISBN 10 : 3659755052
ISBN 13 : 9783659755057
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-Omany Mashael- Mashael Al-Omany completed her MS degree in Computer Science in 2015. - Jalal Al-Muhtadi is currently an assistant professor and the director of Center of Excellence in Information Assurance (CoEIA), King Saud Unive. N° de réf. du vendeur 158247421
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Detection of SMS Spam Botnets in Mobile Devices
Edité par
LAP LAMBERT Academic Publishing Aug 2015, 2015
ISBN 10 : 3659755052
ISBN 13 : 9783659755057
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -Short Message Service (SMS) is widely used to provide communication between users around the world. In the last years, it has become a lucrative way for cybercriminals to infect mobile devices with botnets and launch malicious attacks without the user's knowledge such as: SMS spam and SMS premium rate fraud. SMS spam is one of the dangerous malicious activities as the user is charged for each sent SMS spam. Existing solutions to this issue are no longer adequate as they are either costly in terms of resources, inefficient, or require user intervention with some knowledge on security. In this book, we design, analyze, and implement a system that detects any attempt to send out malicious SMS spams from the mobile device. The proposed system combines the rule-based and the content-based approaches into one detection process. It achieves good performance in terms of detection time and execution cost, and offers a good tradeoff between resilience against attacks and user interaction with the system. This book is intended for multiple audiences: academic, professional, students, and anyone else who is interested in IT security, and particularly in mobile security and botnet detection.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch. N° de réf. du vendeur 9783659755057
Quantité disponible : 2 disponible(s)
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Detection of SMS Spam Botnets in Mobile Devices : Design, Analysis, Implementation
Edité par
LAP LAMBERT Academic Publishing, 2015
ISBN 10 : 3659755052
ISBN 13 : 9783659755057
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Short Message Service (SMS) is widely used to provide communication between users around the world. In the last years, it has become a lucrative way for cybercriminals to infect mobile devices with botnets and launch malicious attacks without the user's knowledge such as: SMS spam and SMS premium rate fraud. SMS spam is one of the dangerous malicious activities as the user is charged for each sent SMS spam. Existing solutions to this issue are no longer adequate as they are either costly in terms of resources, inefficient, or require user intervention with some knowledge on security. In this book, we design, analyze, and implement a system that detects any attempt to send out malicious SMS spams from the mobile device. The proposed system combines the rule-based and the content-based approaches into one detection process. It achieves good performance in terms of detection time and execution cost, and offers a good tradeoff between resilience against attacks and user interaction with the system. This book is intended for multiple audiences: academic, professional, students, and anyone else who is interested in IT security, and particularly in mobile security and botnet detection. N° de réf. du vendeur 9783659755057
Quantité disponible : 1 disponible(s)